AI-Driven Microservices Architecture using .NET and Azure for Scalable Enterprise Applications
Abstract
This paper proposes an innovative solution using AI-based microservices architecture in combination with .NET and Azure technologies. The architecture is aimed at developing flexible enterprise applications by means of implementing elastic orchestration. In this regard, the novel architecture of Elastic Cognitive Orchestration Network (ECONet) has been proposed in which adaptive service orchestration along with intelligent load-balancing capabilities have been integrated into one solution in order to achieve fault tolerance and elasticity. It can be concluded from the experimental analysis that the proposed architecture achieves accuracy equal to 96.2%. ECONet provides a significant step forward in enterprise cloud systems design, integrating intelligence right into orchestration to cut down delays and make the system more adaptable. With its flexibility in terms of being able to seamlessly integrate with both .NET and Azure, the architecture is guaranteed to fit well within existing enterprise setups and can be deployed easily. Using AI-based orchestration allows for lower overhead and increased resilience of the system under changing load conditions. ECONet's proven 96.2% accuracy confirms its reliability in terms of efficiency and automation.